



from .integrations import (
    is_optuna_available,
    is_ray_available,
    is_sigopt_available,
    is_wandb_available,
    run_hp_search_optuna,
    run_hp_search_ray,
    run_hp_search_sigopt,
    run_hp_search_wandb,
)
from .trainer_utils import (
    HPSearchBackend,
    default_hp_space_optuna,
    default_hp_space_ray,
    default_hp_space_sigopt,
    default_hp_space_wandb,
)
from .utils import logging


SCREAMING_SNAKE_CASE__   			=   logging.get_logger(__name__)


class   __lowerCAmelCase  :
					"""simple docstring"""






					A__					:		str
					A__					:		str      							=     None



					@staticmethod
					def      _a				(  ):






								"""simple docstring"""


								raise NotImplementedError



					def      _a				(  self       :							List[str]					,       _snake_case       :							List[Any]					,       _snake_case       :							int					,       _snake_case       :							str					,       **_snake_case       :							Dict       ):






								"""simple docstring"""


								raise NotImplementedError



					def      _a				(  self       :							List[Any]					,       _snake_case       :							List[Any]       ):






								"""simple docstring"""


								raise NotImplementedError



					def      _a				(  self       :							Optional[Any]       ):






								"""simple docstring"""


								if not self.is_available():
											raise RuntimeError(
											    F'''You picked the {self.name} backend, but it is not installed. Run {self.pip_install()}.'''       )



					@classmethod
					def      _a				(  cls       :							Optional[int]       ):






								"""simple docstring"""


								return F'''`pip install {cls.pip_package or cls.name}`'''







class   __lowerCAmelCase  (		UpperCAmelCase_   ):
					"""simple docstring"""






					A__					:		str      							=     "optuna"



					@staticmethod
					def      _a				(  ):






								"""simple docstring"""


								return is_optuna_available()



					def      _a				(  self       :							Optional[int]					,       _snake_case       :							int					,       _snake_case       :							int					,       _snake_case       :							str					,       **_snake_case       :							Union[str, Any]       ):






								"""simple docstring"""


								return run_hp_search_optuna(_snake_case					,       _snake_case					,       _snake_case					,       **_snake_case       )



					def      _a				(  self       :							Optional[Any]					,       _snake_case       :							Tuple       ):






								"""simple docstring"""


								return default_hp_space_optuna(_snake_case       )







class   __lowerCAmelCase  (		UpperCAmelCase_   ):
					"""simple docstring"""






					A__					:		Any      							=     "ray"
					A__					:		List[str]      							=     "'ray[tune]'"



					@staticmethod
					def      _a				(  ):






								"""simple docstring"""


								return is_ray_available()



					def      _a				(  self       :							List[Any]					,       _snake_case       :							Optional[int]					,       _snake_case       :							int					,       _snake_case       :							str					,       **_snake_case       :							List[str]       ):






								"""simple docstring"""


								return run_hp_search_ray(_snake_case					,       _snake_case					,       _snake_case					,       **_snake_case       )



					def      _a				(  self       :							Optional[Any]					,       _snake_case       :							int       ):






								"""simple docstring"""


								return default_hp_space_ray(_snake_case       )







class   __lowerCAmelCase  (		UpperCAmelCase_   ):
					"""simple docstring"""






					A__					:		Optional[int]      							=     "sigopt"



					@staticmethod
					def      _a				(  ):






								"""simple docstring"""


								return is_sigopt_available()



					def      _a				(  self       :							Optional[Any]					,       _snake_case       :							Tuple					,       _snake_case       :							int					,       _snake_case       :							str					,       **_snake_case       :							List[str]       ):






								"""simple docstring"""


								return run_hp_search_sigopt(_snake_case					,       _snake_case					,       _snake_case					,       **_snake_case       )



					def      _a				(  self       :							Tuple					,       _snake_case       :							List[Any]       ):






								"""simple docstring"""


								return default_hp_space_sigopt(_snake_case       )







class   __lowerCAmelCase  (		UpperCAmelCase_   ):
					"""simple docstring"""






					A__					:		List[str]      							=     "wandb"



					@staticmethod
					def      _a				(  ):






								"""simple docstring"""


								return is_wandb_available()



					def      _a				(  self       :							str					,       _snake_case       :							str					,       _snake_case       :							int					,       _snake_case       :							str					,       **_snake_case       :							Tuple       ):






								"""simple docstring"""


								return run_hp_search_wandb(_snake_case					,       _snake_case					,       _snake_case					,       **_snake_case       )



					def      _a				(  self       :							Any					,       _snake_case       :							Optional[int]       ):






								"""simple docstring"""


								return default_hp_space_wandb(_snake_case       )







SCREAMING_SNAKE_CASE__   			=   {
    HPSearchBackend(backend.name): backend for backend in [OptunaBackend, RayTuneBackend, SigOptBackend, WandbBackend]
}


def A    (							)    ->   str:
			A__	  =     [backend for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values() if backend.is_available()]
			if len(__UpperCamelCase       ) > 0:
						A__	  =     available_backends[0].name
						if len(__UpperCamelCase       ) > 1:
									logger.info(
									    f'''{len(__UpperCamelCase       )} hyperparameter search backends available. Using {name} as the default.'''       )
						return name
			raise RuntimeError(
			    'No hyperparameter search backend available.\n'
			    + '\n'.join(
			        f''' - To install {backend.name} run {backend.pip_install()}'''
			        for backend in ALL_HYPERPARAMETER_SEARCH_BACKENDS.values()       )       )





"""simple docstring"""


# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a				={
    'configuration_mgp_str': ['MGP_STR_PRETRAINED_CONFIG_ARCHIVE_MAP', 'MgpstrConfig'],
    'processing_mgp_str': ['MgpstrProcessor'],
    'tokenization_mgp_str': ['MgpstrTokenizer'],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	a				=[
	    'MGP_STR_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'MgpstrModel',
	    'MgpstrPreTrainedModel',
	    'MgpstrForSceneTextRecognition',
	]

if TYPE_CHECKING:
	from .configuration_mgp_str import MGP_STR_PRETRAINED_CONFIG_ARCHIVE_MAP, MgpstrConfig
	from .processing_mgp_str import MgpstrProcessor
	from .tokenization_mgp_str import MgpstrTokenizer

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_mgp_str import (
		    MGP_STR_PRETRAINED_MODEL_ARCHIVE_LIST,
		    MgpstrForSceneTextRecognition,
		    MgpstrModel,
		    MgpstrPreTrainedModel,
		)
else:
	import sys

	a				=_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)


